Journal of Peking University (Health Sciences) ›› 2024, Vol. 56 ›› Issue (5): 815-819. doi: 10.19723/j.issn.1671-167X.2024.05.010

Previous Articles     Next Articles

Epidemiological characteristics of hemorrhoids in a healthy physical examination population in China

Chenghua GUO1, Xiaoyu CHE1, Zhi LIN1, Shan CAI1, Guozhen LIU2, Lang PAN3, Jun LV1,3,4, Liming LI1,3,4, Sailimai MAN5, Bo WANG5,*(), Canqing YU1,3,4,*()   

  1. 1. Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
    2. Beijing Institute of Big Data Research & PKU Healthcare IT Company Big Data Laboratory, Beijing 100080, China
    3. Peking University Center for Public Health and Epidemic Preparedness Response, Beijing 100191, China
    4. Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
    5. Mei-nian Public Health Research Institute, Peking University Health Science Center, Beijing 100191, China
  • Received:2021-02-28 Online:2024-10-18 Published:2024-10-16
  • Contact: Bo WANG, Canqing YU E-mail:paul@meinianresearch.com;yucanqing@pku.edu.cn
  • Supported by:
    Supported by 2020 Peking University School of Public Health Health Science Center Students' Innovation Training Program

RICH HTML

  

Abstract:

Objective: To describe the epidemiological distribution of hemorrhoids in a physical examination population in China, which could provide evidence for precision prevention and early intervention of hemorrhoids. Methods: Chinese subjects over 18 years of age who underwent a physical examination in a nationwide chain of physical examination centers in 2018 were studied in a cross-sectional design, which collected information by a questionnaire and physical examination results from each subject. The epidemiological distribution of hemorrhoids was described using Logistic models. The gender-, age-, and region-detection rates of hemorrhoids were standardized to the Sixth National Population Census of the People's Republic of China (2010). Results: A total of 2 940 295 adult subjects were included in the study, of whom the average age was (41.7±14.0) years, and 52.6% were females. The standardized detection rate of hemorrhoids was higher for females (43.7%) than that for males (17.7%; P < 0.001) in this study. In the females, the age distribution of hemorrhoids was inverted U-shaped, with the highest standardized detection rate of hemorrhoids in the age group of 30-39 years (63.5%). In the males, the standardized detection rate of hemorrhoids increased along with age, with the highest percentage of 17.2% in the age group of 50-59 years, and the standardized detection rate of hemorrhoids in the age group of 60 and above decreased slightly (P < 0.001 for trend test). The participants with hypertension had a higher standardized detection rate of hemorrhoids than those with normal blood pressure in both males and females (P < 0.001). The standardized detection rate of hemorrhoids showed a positive correlation with body mass index (P < 0.001 for trend test in males). Conclusion: The detection rate of hemorrhoids varied to gender, age, obesity, and hypertension status, which could help to identify the risk factors and the high-risk sub-groups, and hence to strengthen health education and early detection accordingly, which could eventually reduce the incidence of hemorrhoids and improve the quality of life and health in the Chinese population. This study was conducted in a physical examination population, and the conclusions of this study should be extrapolated with caution.

Key words: Hemorrhoid, Physical examination, Detection rate

CLC Number: 

  • R181.2

Table 1

Age and regional distribution characteristics of study participants"

ItemsMale Female
n % n %
Age group/years
  18-29 344 952 11.7 327 775 11.2
  30-39 378 289 12.9 408 239 13.9
  40-49 262 811 8.9 326 106 11.1
  50-59 235 372 8.0 289 863 9.9
  60-69 125 337 4.3 153 567 5.2
  70- 46 168 1.6 41 816 1.4
Region of China
  North 190 821 13.7 162 330 10.5
  Northeast 36 078 2.6 63 415 4.1
  East 616 890 44.3 768 956 49.7
  Central 86 196 6.2 84 692 5.5
  South 195 183 14.0 225 644 14.6
  Southwest 93 361 6.7 99 292 6.4
  Northwest 174 400 12.5 143 037 9.2
Total 1 392 929 47.4 1 547 366 52.6

Table 2

Detection rate of hemorrhoids in physical examination population over 18 years in China"

Items Male Female
Crude rate/%(95%CI) Standardized rate/%(95%CI) Crude rate/%(95%CI) Standardized rate/%(95%CI)
Age group/years
  18-29 9.1 (7.5-10.6) 7.3 (5.8- 8.8) 32.2 (27.5-36.9) 50.6 (32.2-68.9)
  30-39 17.3 (14.8-19.7) 13.9 (11.6-16.3) 47.3 (42.1-52.4) 63.5 (45.5-81.4)
  40-49 22.7 (19.8-25.7) 16.6 (13.3-19.8) 51.1 (46.1-56.0) 62.6 (40.7-84.4)
  50-59 24.8 (21.7-27.8) 17.2 (13.1-21.3) 47.7 (43.0-52.4) 56.2 (32.3-80.0)
  60-69 24.9 (21.5-28.3) 14.9 (10.9-18.8) 44.8 (39.2-50.3) 50.8 (27.3-74.2)
  70- 26.7 (22.6-30.9) 16.6 (9.5-23.6) 47.7 (39.4-56.1) 45.0 (17.3-72.7)
Region of China
  North 20.7 (13.6-27.9) 14.8 (7.5-22.2) 40.6 (28.9-52.4) 22.4 (<0.1-47.2)
  Northeast 16.1 (7.4-24.7) 16.5 (7.3-25.6) 27.0 (19.0-34.9) 25.1 (20.6-29.5)
  East 19.1 (15.4-22.8) 18.0 (14.6-21.3) 49.3 (41.5-57.1) 39.5 (20.0-59.0)
  Central 31.7 (24.6-38.7) 9.8 (7.0-12.7) 47.2 (38.0-56.4) 53.1 (45.0-61.2)
  South 19.0 (15.3-22.7) 17.0 (13.0-21.0) 46.3 (39.5-53.0) 50.4 (42.6-58.2)
  Southwest 22.3 (15.2-29.4) 21.1 (13.8-28.5) 40.5 (30.6-50.5) 45.5 (37.0-54.0)
  Northwest 5.8 (2.9- 8.6) 4.1 (<0.1- 9.5) 31.4 (12.0-50.9) 9.5 (<0.1-26.2)
Total 18.5 (16.0-21.0) 17.7 (14.3-21.1) 44.7 (40.0-49.5) 43.7 (30.2-57.2)

Table 3

The relationship of BMI and hypertension status with detection rates of hemorrhoids in the physical examination population over 18 years in China"

ItemsMale Female
Crude rate/%(95%CI) Standardized rate/%(95%CI) OR(95%CI) Crude rate/%(95%CI) Standardized rate/%(95%CI) OR(95%CI)
BMI
  Underweight 10.0 (8.2 -11.7) 13.7 (19.9-17.5) 0.73 (0.70-0.75) 35.0 (30.6-39.5) 38.9 (28.0-49.9) 0.79 (0.78-0.81)
  Normal weight 17.0 (14.7-19.4) 17.0 (13.7-20.3) 1.00 45.2 (40.4-50.0) 45.8 (34.8-56.9) 1.00
  Overweight 20.3 (17.6-23.0) 18.1 (14.6-21.5) 1.10 (1.08-1.11) 46.3 (41.4-51.2) 43.2 (28.1-58.3) 0.98 (0.97-0.98)
  Obesity 19.5 (16.8-22.2) 18.7 (15.3-22.0) 1.09 (1.08-1.10) 43.5 (38.4-48.7) 38.4 (20.8-56.0) 0.89 (0.88-0.90)
Hypertension
  No 17.2 (14.9-19.6) 17.6 (14.4-20.8) 1.00 44.0 (39.1-48.9) 43.4 (30.7-56.0) 1.00
  Yes 21.1 (18.2-23.9) 18.1 (14.3-21.9) 1.02 (1.01-1.03) 45.4 (39.6-51.2) 44.8 (27.9-61.6) 1.03 (1.02-1.04)
1 胡捷, 刘蓓, 朱红军, 等. 9240例肛肠疾病患者病谱分析[J]. 实用预防医学, 2008, 15 (5): 1385- 1387.
doi: 10.3969/j.issn.1006-3110.2008.05.023
2 Altomare DF , Giuratrabocchetta S . Conservative and surgical treatment of haemorrhoids[J]. Nat Rev Gastroenterol Hepatol, 2013, 10 (9): 513- 521.
doi: 10.1038/nrgastro.2013.91
3 Sandler RS , Peery AF . Rethinking what we know about hemorrhoids[J]. Clin Gastroenterol Hepatol, 2019, 17 (1): 8- 15.
doi: 10.1016/j.cgh.2018.03.020
4 Lohsiriwat V . Treatment of hemorrhoids: A coloproctologist ' s view[J]. World J Gastroenterol, 2015, 21 (31): 9245- 9252.
doi: 10.3748/wjg.v21.i31.9245
5 Lohsiriwat V . Hemorrhoids: From basic pathophysiology to clinical management[J]. World J Gastroenterol, 2012, 18 (17): 2009- 2017.
doi: 10.3748/wjg.v18.i17.2009
6 中国高血压防治指南修订委员会. 中国高血压防治指南2010[J]. 中华心血管病杂志, 2011, 3 (7): 42- 93.
7 陈春明, 国际生命科学学会中国办事处中国肥胖问题工作组联合数据汇总分析协作组. 中国成人体质指数分类的推荐意见简介[J]. 中华预防医学杂志, 2001, 35 (5): 349- 350.
doi: 10.3760/j:issn:0253-9624.2001.05.019
8 Zhang CG , Feng JN , Wang SF , et al. Incidence of and trends in hip fracture among adults in urban China: A nationwide retrospective cohort study[J]. PLoS Med, 2020, 17 (8): 1- 16.
9 中华医学会外科学分会结直肠肛门外科学组, 中华中医药学会肛肠病专业委员会, 中国中西医结合学会结直肠肛门病专业委员会. 痔临床诊治指南(2006版)[J]. 中华胃肠外科杂志, 2006, 9 (5): 461- 463.
doi: 10.3760/cma.j.issn.1671-0274.2006.05.039
10 中华人民共和国国家统计局. 2010年第六次全国人口普查主要数据公报(第1号)[J]. 中国计划生育学杂志, 2011, 19 (8): 511- 512.
11 陈平, 田振国, 周璐, 等. 我国居民肛肠疾病患病状况调查[J]. 中国肛肠病杂志, 2015, 35 (10): 17- 20.
12 何美坤, 刘晓君, 毛宗福. 健康相关行为影响因素[J]. 中华流行病学杂志, 2019, 40 (3): 366- 370.
13 梁建民. 女性肛肠病的临床发病特点及治疗分析(附600例报告)[J]. 中国肛肠病杂志, 2007, 27 (7): 31- 32.
14 鲜振宇, 张恒, 谢尚奎, 等. 女性肛管雌、孕激素受体的表达与痔的关系[J]. 广东医学, 2013, 34 (9): 1390- 1392.
15 符春平. 贵州省黔南地区妊娠妇女肛肠疾病的患病现状及其危险因素[J]. 中国妇幼保健, 2016, 31 (6): 1245- 1248.
16 赵卫东, 韩庆丰, 刘立敏, 等. 孕产妇痔病的患病情况及危险因素调查研究[J]. 中国当代医药, 2013, 20 (11): 149- 150.
17 Staley CA . Colon and rectal surgery, 4th edition[J]. Ann Surg, 2001, 234 (6): 814.
18 张威. 浙江省390例妊娠妇女肛肠疾病的患病现状及其危险因素分析[J]. 中国妇幼保健, 2018, 33 (6): 1385- 1388.
19 Haas PA , Fox TA Jr , Haas GP. . The pathogenesis of hemorrhoids[J]. Dis Colon Rectum, 1984, 27 (7): 442- 450.
20 秦晨曦, 余灿清, 杜怀东, 等. 中国10个地区成年人食物摄入频率特征差异的分析[J]. 中华流行病学杂志, 2015, 36 (9): 911- 916.
21 Peery AF , Sandler RS , Galanko JA , et al. Risk factors for hemorrhoids on screening colonoscopy[J]. PLoS One, 2015, 10 (9): 1- 9.
22 刘蔚, 王继宁, 张小元, 等. 我国西北地区成人常见肛肠疾病流行病学调查及相关因素分析[J]. 实用预防医学, 2017, 24 (3): 333- 337.
23 Pigot F , Siproudhis L , Allaert FA . Risk factors associated with hemorrhoidal symptoms in specialized consultation[J]. Gastroenterol Clin Biol, 2005, 29 (12): 1270- 1274.
24 杜勇军, 黄德铨, 杨洁, 等. 混合痔危险因素的病例对照研究[J]. 重庆医学, 2017, 46 (32): 4553- 4555.
25 Zhao ZY , Li M , Li C , et al. Dietary preferences and diabetic risk in China: A large-scale nationwide Internet data-based study[J]. J Diabetes, 2020, 12 (4): 270- 278.
26 Lee JH , Kim HE , Kang JH , et al. Factors associated with hemorrhoids in korean adults: Korean national health and nutrition examination survey[J]. Korean J Fam Med, 2014, 35 (5): 227- 236.
27 Riss S , Weiser FA , Schwameis K , et al. The prevalence of hemorrhoids in adults[J]. Int J Colorectal Dis, 2012, 27 (2): 215- 220.
28 Sanchez C , Chinn BT . Hemorrhoids[J]. Clin Colon Rectal Surg, 2011, 24 (1): 5- 13.
29 Elliott WJ , Ram CVS . Calcium channel blockers[J]. J Clin Hypertens (Greenwich), 2011, 13 (9): 687- 689.
30 李帼英, 王建荣, 马燕兰. 社区老年人常见疾病与药物对便秘的影响[J]. 中华现代护理杂志, 2009, 15 (4): 310- 312.
31 Talley NJ , Lasch KL , Baum CL . A gap in our understanding: Chronic constipation and its comorbid conditions[J]. Clin Gastroenterol Hepatol, 2009, 7 (1): 9- 19.
[1] Bing-jie HE,Zhi-ke LIU,Peng SHEN,Ye-xiang SUN,Bin CHEN,Si-yan ZHAN,Hong-bo LIN. Epidemiological study on the incidence of inflammatory bowel disease in Yinzhou District, Ningbo City from 2011 to 2020 [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 511-519.
[2] Chao GONG,Qiu-ping LIU,Jia-min WANG,Xiao-fei LIU,Ming-lu ZHANG,Han YANG,Peng SHEN,Hong-bo LIN,Xun TANG,Pei GAO. Effectiveness of statin treatment strategies for primary prevention of cardiovascular diseases in a community-based Chinese population: A decision-analytic Markov model [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 443-449.
[3] Meng-ying WANG,Wen-yong LI,Ren ZHOU,Si-yue WANG,Dong-jing LIU,Hong-chen ZHENG,Zhi-bo ZHOU,Hong-ping ZHU,Tao WU,Yong-hua HU. Association study between haplotypes of WNT signaling pathway genes and nonsyndromic oral clefts among Chinese Han populations [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 394-399.
[4] WU Jing-yi,LIN Yu,LIN Ke,HU Yong-hua,KONG Gui-lan. Predicting prolonged length of intensive care unit stay via machine learning [J]. Journal of Peking University (Health Sciences), 2021, 53(6): 1163-1170.
[5] FENG Jing-nan,GAO Le,SUN Yi-xin,YANG Ji-chun,DENG Si-wei,SUN Feng,ZHAN Si-yan. Accuracy of Xpert®MTB/RIF for the detection of tuberculosis and rifampicin-resistance tuberculosis in China: A systematic review and meta-analysis [J]. Journal of Peking University (Health Sciences), 2021, 53(2): 320-326.
[6] Si-wei DENG,Ze-yi CHEN,Zhi-ke LIU,Jian WANG,Lin ZHUO,Shuang-qing GAO,Jia-kuo YU,Si-yan ZHAN. Epidemiological study of bone and joint injury based on urban medical insurance database [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 527-534.
[7] Xun TANG,Du-dan ZHANG,Xiao-fei LIU,Qiu-ping LIU,Yang CAO,Na LI,Shao-ping HUANG,Hui-dong DOU,Pei GAO,Yong-hua HU. Application of the China-PAR stroke risk equations in a rural northern Chinese population [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 444-450.
[8] Ran ZHU,Zhao-jun NI,Shun ZHANG,Liang-jun PANG,Chuan-sheng WANG,Yan-ping BAO,Hong-qiang SUN. Effect of clinical characteristics on relapse of alcohol dependence: a prospective cohort study [J]. Journal of Peking University(Health Sciences), 2019, 51(3): 519-524.
[9] Le GAO,Shu-qing YU,Ji-chun YANG,Jun-ling MA,Si-yan ZHAN,Feng SUN. Quality assessment of global guidelines on colorectal cancer screening [J]. Journal of Peking University(Health Sciences), 2019, 51(3): 548-555.
[10] LIN Ke, XIE Jun-qing, HU Yong-hua, KONG Gui-lan. Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU [J]. Journal of Peking University(Health Sciences), 2018, 50(2): 239-244.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!